https://github.com/nanitefactory/basic-mlp
Just another BP simulation.
https://github.com/nanitefactory/basic-mlp
artificial-intelligence artificial-neural-networks backpropagation data-science graph mlp mnist mnist-classification mnist-handwriting-recognition neural-network neural-networks pattern-recognition plot plotting
Last synced: about 1 month ago
JSON representation
Just another BP simulation.
- Host: GitHub
- URL: https://github.com/nanitefactory/basic-mlp
- Owner: NaniteFactory
- Created: 2017-05-29T09:06:54.000Z (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2017-05-29T14:49:04.000Z (almost 9 years ago)
- Last Synced: 2025-04-09T12:26:57.549Z (11 months ago)
- Topics: artificial-intelligence, artificial-neural-networks, backpropagation, data-science, graph, mlp, mnist, mnist-classification, mnist-handwriting-recognition, neural-network, neural-networks, pattern-recognition, plot, plotting
- Language: Matlab
- Size: 358 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Basic-MLP
## 개요
- 2017학년도 4학년 1학기 `인공지능` 수업 과제
- 역전파 알고리즘(EBP)을 이용하여 필기체 숫자 이미지의 학습과 인식을 수행하는 인공신경망 구현
- 입력 은닉 출력의 3층 MLP 네트워크 구성
- `MATLAB R2016a` 이용
## 요구사항
- MLP로 MNIST 데이터를 [Training & Test] 수행한다.
- (MNIST 데이터셋은 60,000개 학습 패턴, 10,000개의 테스트 패턴을 제공함)
- 에러율 그래프와 최종 에러를 결과로 출력한다.
## 실행화면
